IoT Based Waste Tracking and Collection

Authors

  • Akshay Patil  Department of Computer Engineering, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
  • Vitthal Sawant  Department of Computer Engineering, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
  • Sarvesh Kothawade  Department of Computer Engineering, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India
  • Prof. Sonal Chaudhari  Department of Computer Engineering, Datta Meghe College of Engineering, Airoli, Navi Mumbai, Maharashtra, India

DOI:

https://doi.org/10.32628/CSEIT217319

Keywords:

Cloud Computing, Encryption, Homomorphic Encryption, Fully Homomorphic

Abstract

Waste collection and resource management on time has been always a challenge rather efficient collection of waste by corporation. This project aims to achieve this goal with help of Internet of Things and mobile application and intend to retrieve data from citizens to help us efficiently manage collection triggers of collection vehicle and resources according to need, so that productivity of waste collection increases. Data suggest that in urban as well as rural area management struggles with the efficiency and resource planning as there exist few or no management system which will fit all scenarios. As we know data is new age oil. We intend to generate data that can be useful in various aspects ranging from analysis of public health to resource planning and as proof of concept we will demonstrate how we can efficiently utilize resources i.e vehicle.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Akshay Patil, Vitthal Sawant, Sarvesh Kothawade, Prof. Sonal Chaudhari, " IoT Based Waste Tracking and Collection" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.76-84, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217319